An information processing device obtains a first index value which indicates a popularity degree of a blog containing one or a plurality of articles, obtains, for each of the plurality of articles contained in the blog, a second index value which indicates an accessibility to the article, and determines whether or not to compress the article contained in the blog based on the first index value and the second index value.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. An information processing device comprising: at least one memory configured to store computer program code; at least one processor configured to access said computer program code and operate as instructed by said computer program code, said computer program code including: first obtaining code configured to cause at least one of said at least one processor to obtain a first index value which indicates a popularity degree of a blog containing one or a plurality of articles; second obtaining code configured to cause at least one of said at least one processor to obtain, for each of the plurality of articles value which indicates an accessibility to the article; determining code configured to cause at least one of said at least one processor to determine whether or not to compress the article contained in the blog based on the first index value and the second index value; and compressing and decompressing code configured to cause at least one of said at least one processor to compress the article determined by the determining code as to be compressed, and to decompress the already-compressed article when an access is made to the already-compressed article, wherein the determining code is configured to set a determination reference in accordance with the first index value, and determine whether or not to compress the article based on the second index value with reference to the determination reference.
This invention relates to an information processing device for optimizing storage and retrieval of blog articles based on their popularity and accessibility. The device includes a memory and a processor executing program code to manage article compression. The system obtains a first index value representing the overall popularity of a blog containing multiple articles. For each article, it also obtains a second index value indicating the article's accessibility, such as frequency of access or user engagement. The processor then determines whether to compress an article by comparing the second index value against a dynamically set determination reference, which is adjusted based on the blog's popularity. Highly popular blogs may have a stricter compression threshold, while less popular blogs may compress articles more readily. Compressed articles are decompressed upon access. This approach balances storage efficiency and retrieval performance by prioritizing compression for less accessible articles in less popular blogs, while preserving quick access to frequently accessed content. The system dynamically adapts to changing access patterns and blog popularity to optimize resource usage.
2. The information processing device according to claim 1 , wherein the determining code is configured to cause at least one of said at least one processor to determine whether or not to decompress the already-compressed article based on the first index value and on the second index value.
This invention relates to an information processing device designed to optimize data handling, particularly for compressed articles. The device includes at least one processor and a memory storing executable code, including a determining code. The determining code evaluates whether to decompress an already-compressed article by analyzing two index values: a first index value associated with the article and a second index value linked to a user's access history. The device assesses these values to decide if decompression is necessary, likely to balance processing efficiency and user experience. The determining code may also interact with other components, such as a receiving code that retrieves the article and a transmitting code that sends the article to a user device. The system aims to reduce unnecessary decompression operations, conserving computational resources while ensuring timely access to requested data. The invention is particularly useful in environments where compressed data is frequently accessed, such as cloud storage or content delivery networks, where minimizing decompression overhead is critical for performance.
3. The information processing device according to claim 1 , wherein the determining code is configured to cause at least one of said at least one processor to determine whether or not to decompress the already-compressed article based on contents of the article.
This invention relates to an information processing device that optimizes data handling by selectively decompressing previously compressed articles based on their content. The device includes at least one processor and a memory storing executable code, including determining code that evaluates the contents of an article to decide whether decompression is necessary. The system avoids unnecessary decompression steps by analyzing the article's data, reducing computational overhead and improving efficiency. The device may also include compression code to compress articles and storage code to manage compressed data in a storage unit. The determining code assesses factors such as article type, metadata, or usage patterns to make decompression decisions, ensuring only relevant articles are decompressed. This approach enhances performance in systems handling large volumes of compressed data, such as databases or content delivery networks, by minimizing redundant processing. The invention addresses inefficiencies in traditional systems that decompress all compressed data indiscriminately, leading to wasted resources. By dynamically determining decompression needs, the device optimizes storage and processing efficiency while maintaining data accessibility.
4. The information processing device according to claim 1 , wherein the determining code is configured to cause at least one of said at least one processor to monitor a change in the popularity degree of the blog, and when an increasing tendency of the popularity degree for a given blog is detected, determine all of or some of the already-compressed articles in the blog as the articles to be decompressed.
This invention relates to an information processing device that manages blog content, particularly focusing on dynamically adjusting compression levels based on blog popularity. The device includes a processor that monitors the popularity degree of a blog, such as view counts or engagement metrics. When an increasing trend in popularity is detected, the processor identifies previously compressed articles within the blog and selects all or a subset of them for decompression. This ensures that as a blog gains traction, its content is made more accessible by reducing compression, thereby improving user experience without manual intervention. The system may also include a storage unit to retain compressed and decompressed articles, and a communication interface to facilitate data transfer. The invention addresses the challenge of balancing storage efficiency and accessibility in content management systems, particularly for blogs where popularity can fluctuate unpredictably. By automating decompression based on real-time popularity trends, the device optimizes performance and user engagement without requiring constant administrative oversight.
5. The information processing device according to claim 1 , wherein the determining code is configured to cause at least one of said at least one processor to determine that, when the compressed article is decompressed in accordance with an access, the decompressed article is not the article to be compressed for a predetermined time period from the decompression.
This invention relates to information processing devices that handle compressed articles, addressing the problem of ensuring data integrity and security when decompressing files. The device includes at least one processor and a memory storing executable code, including determining code. The determining code identifies whether a decompressed article, accessed within a predetermined time period after decompression, matches the original article before compression. This prevents unauthorized or unintended access to decompressed data, ensuring that the decompressed content remains secure and unaltered. The system may also include compression code to compress an article into a compressed article, storage code to store the compressed article, and decompression code to decompress the compressed article. The determining code verifies the integrity of the decompressed article by comparing it to the original or expected data, ensuring that the decompressed content has not been tampered with or accessed improperly. This verification process helps maintain data confidentiality and integrity, particularly in systems where compressed files are frequently accessed or shared. The invention is useful in applications requiring secure data handling, such as encrypted file storage, digital rights management, or secure communication systems.
6. The information processing device according to claim 1 , wherein the first index value is a value obtained based on at least one of the followings: a total number of page views for the entire blog; a number of unique users who have accessed the blog; a total linked number set to the blog; a total number of comments described in the blog; a value that indicates a page ranking of the blog; a value that indicates an increasing tendency of the page view for the entire blog; and a value that indicates an increasing tendency of a data amount for the entire blog.
This invention relates to an information processing device that evaluates the popularity or relevance of a blog by calculating a first index value based on various metrics. The device determines the first index value using at least one of several factors, including the total number of page views for the entire blog, the number of unique users who have accessed the blog, the total number of links pointing to the blog, the total number of comments posted in the blog, a value indicating the blog's page ranking, a value indicating the increasing trend of page views for the blog, or a value indicating the increasing trend of data volume for the blog. These metrics collectively assess the blog's engagement, visibility, and growth over time. The device processes these inputs to generate a quantitative measure of the blog's significance, which can be used for ranking, recommendation, or analysis purposes. The invention aims to provide a comprehensive evaluation of a blog's performance by incorporating multiple indicators of its online presence and user interaction.
7. The information processing device according to claim 1 , wherein the second index value is a value obtained based on at least one of the followings: a number of page views for each article; a number of unique users who have accessed the article; a linked number set to the article; a value that indicates a page ranking of the article; a value that indicates an increasing tendency of the page view for the article; a value that indicates a length of a time period at which there is no access to the article; and a value that indicates a presence or absence of a specific phrase.
This invention relates to an information processing device that evaluates and ranks articles based on user engagement metrics. The device determines a second index value for each article, which quantifies its relevance or popularity. This value is derived from multiple factors, including the number of page views, unique user access counts, linked references to the article, page ranking metrics, trends in viewership growth, periods of inactivity (time since last access), and the presence of specific phrases. The second index value is used to prioritize or filter articles, improving search results or content recommendations. The system dynamically adjusts rankings based on real-time or historical user interaction data, ensuring that more engaging or frequently accessed articles are prominently displayed. This approach enhances content discovery by leveraging objective engagement metrics rather than static criteria, addressing the challenge of maintaining relevance in rapidly evolving digital content environments. The invention is particularly useful for search engines, news aggregators, or social media platforms where timely and accurate content ranking is critical.
8. An information processing method comprising: obtaining a first index value that indicates a popularity degree of a blog which contains one or a plurality of articles; obtaining a second index value that indicates an accessibility to the article for each of the plurality of articles contained in the blog; determining whether or not to compress the article contained in the blog based on the first index value and on the second index value; and performing compression based on the determination, and decompressing the already-compressed article when an access is made to the already-compressed article, wherein the determining whether or not to compress the article comprises setting a determination reference in accordance with the first index value, and determining whether or not to compress the article based on the second index value with reference to the determination reference.
This invention relates to optimizing storage and access efficiency for blog articles by selectively compressing content based on popularity and accessibility metrics. The method addresses the challenge of managing large volumes of blog data where some articles are frequently accessed while others are rarely accessed, leading to inefficient storage and retrieval. The process involves analyzing a blog's overall popularity using a first index value, which quantifies the blog's general importance or traffic. Additionally, for each article within the blog, a second index value measures accessibility, such as how often the article is accessed or its relevance to users. Based on these values, the system determines whether to compress an article. The decision is made by setting a dynamic reference threshold derived from the blog's popularity index and then comparing each article's accessibility index against this threshold. Articles with low accessibility relative to the blog's popularity are compressed to save storage space, while frequently accessed articles remain uncompressed for faster retrieval. When a compressed article is accessed, it is decompressed on demand to ensure readability. This approach balances storage efficiency with access speed, prioritizing compression for less critical content while maintaining quick access to high-demand articles.
9. A non-transitory computer readable storage medium having stored thereon a computer program that causes an information processing device to: obtain a first index value that indicates a popularity degree of a blog which contains one or a plurality of articles; obtain a second index value that indicates an accessibility to the article for each of the plurality of articles contained in the blog; determine whether or not to compress the article contained in the blog based on the first index value and on the second index value; and perform compression based on the determination, and decompress the already-compressed article when an access is made to the already-compressed article, wherein the information processing device is caused to set a determination reference in accordance with the first index value, and determine whether or not to compress the article based on the second index value with reference to the determination reference.
This invention relates to a system for optimizing storage and access efficiency of blog articles by selectively compressing content based on popularity and accessibility metrics. The system evaluates a blog's overall popularity using a first index value, which reflects the blog's general importance or traffic. For each article within the blog, a second index value assesses accessibility, such as how frequently the article is accessed or its importance relative to other articles. The system dynamically determines whether to compress an article by comparing the second index value against a determination reference, which is adjusted based on the blog's overall popularity. Highly popular blogs or frequently accessed articles may be exempt from compression to prioritize faster access, while less popular or rarely accessed articles are compressed to save storage space. When a compressed article is accessed, the system automatically decompresses it for retrieval. This approach balances storage efficiency with performance, ensuring that frequently accessed content remains readily available while reducing storage demands for less critical data. The system operates on an information processing device executing a stored computer program, enabling adaptive compression decisions based on real-time usage patterns.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
October 20, 2016
March 22, 2022
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.